Large-scale imputation of epigenomic datasets for systematic annotation of diverse human tissues
With hundreds of epigenomic maps, the opportunity arises to exploit the correlated nature of epigenetic signals, across both marks and samples, for large-scale prediction of additional datasets. Here, we undertake epigenome imputation by leveraging such correlations through an ensemble of regression...
Main Authors: | Ernst, Jason, Kellis, Manolis |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | en_US |
Published: |
Nature Publishing Group
2016
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Online Access: | http://hdl.handle.net/1721.1/100769 |
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